Informatics Tools in Deprescribing and Medication Optimization in Older Adults: Development and Dissemination of VIONE Methodology in a High Reliability Organization

Purpose: Polypharmacy is common in older adults, with almost 20% of older adults taking ≥10 medications. They are at great risk for adverse events related to potentially inappropriate medications (PIMs). Although evidence-based methods for deprescribing have been successful at reducing polypharmacy and improving quality of medication use, there are several challenges to implementing these methods on a large scale. VIONE, a medication deprescribing methodology, was developed to reduce polypharmacy and PIMs across the Veterans Health Administration (VHA). (VIONE stands for Vital, Important, Optional, Not indicated, and Every medication has an indication.) This study describes the tools created for implementation of VIONE and the dashboards used to track VIONE implementation and subsequent deprescribing across the VHA; their use and sustainment are examined in a health system–wide adoption of this deprescribing practice in a high reliability organization (HRO). Methods: VIONE was disseminated by the VHA via the Diffusion of Excellence Initiative. Dissemination included an implementation toolkit and four dashboards that collect and display data from the electronic medical record to monitor utilization of VIONE, track medication discontinuations, and prospectively identify veterans who may be candidates for deprescribing. Findings: Between 2016 and the present, VIONE has been adopted at >130 medical centers and influenced almost 700,000 unique patients. In addition, a total of >1.6 million medication orders have been discontinued by >15,000 providers. Implications: The VIONE methodology and informatics tools were widely disseminated and successfully adopted and sustained nationally in a high reliability organization, leading to a reduction in PIM use by older adults and improved quality and patient safety. Future efforts should continue to consider ways to leverage electronic medical record data and other relevant informatics tools to provide customized clinical decision support to further medication optimization and deprescribing efforts.